Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images

Seyed Hamid Rezatofighi; Stephen Gould; Richard Hartley; Katarina Mele; William E. Hughes

doi:10.1007/978-3-642-33415-3_44

Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images

Seyed Hamid Rezatofighi, Stephen Gould, Richard Hartley, Katarina Mele, William E. Hughes

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

14 Citations (Scopus)

Abstract

We propose a multi-target tracking method using an Interacting Multiple Model Joint Probabilistic Data Association (IMM-JPDA) filter for tracking vesicles in Total Internal Reflection Fluorescence Microscopy (TIRFM) sequences. We enhance the accuracy and reliability of the algorithm by tailoring an appropriate framework to this application. Evaluation of our algorithm is performed on both realistic synthetic data and real TIRFM data. Our results are compared against related methods and a commercial tracking software.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings
Editors	Nicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori
Publisher	Springer
Pages	357-364
Number of pages	8
ISBN (Print)	9783642334146
DOIs	https://doi.org/10.1007/978-3-642-33415-3_44
Publication status	Published - 2012
Externally published	Yes
Event	Medical Image Computing and Computer-Assisted Intervention 2012 - Nice, France Duration: 1 Oct 2012 → 5 Oct 2012 Conference number: 15th https://link.springer.com/book/10.1007/978-3-642-33415-3 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7510 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Medical Image Computing and Computer-Assisted Intervention 2012
Abbreviated title	MICCAI 2012
Country/Territory	France
City	Nice
Period	1/10/12 → 5/10/12
Internet address	https://link.springer.com/book/10.1007/978-3-642-33415-3 (Proceedings)

Keywords

Bayesian tracking
Data association
IMM filter
JPDA filter
Multi-target tracking
Total internal reflection fluorescence microscopy

Access to Document

10.1007/978-3-642-33415-3_44

Cite this

Rezatofighi, S. H., Gould, S., Hartley, R., Mele, K., & Hughes, W. E. (2012). Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images. In N. Ayache, H. Delingette, P. Golland, & K. Mori (Eds.), Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings (pp. 357-364). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7510 LNCS). Springer. https://doi.org/10.1007/978-3-642-33415-3_44

Rezatofighi, Seyed Hamid ; Gould, Stephen ; Hartley, Richard et al. / Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images. Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. editor / Nicholas Ayache ; Herve Delingette ; Polina Golland ; Kensaku Mori. Springer, 2012. pp. 357-364 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images",

abstract = "We propose a multi-target tracking method using an Interacting Multiple Model Joint Probabilistic Data Association (IMM-JPDA) filter for tracking vesicles in Total Internal Reflection Fluorescence Microscopy (TIRFM) sequences. We enhance the accuracy and reliability of the algorithm by tailoring an appropriate framework to this application. Evaluation of our algorithm is performed on both realistic synthetic data and real TIRFM data. Our results are compared against related methods and a commercial tracking software.",

keywords = "Bayesian tracking, Data association, IMM filter, JPDA filter, Multi-target tracking, Total internal reflection fluorescence microscopy",

author = "Rezatofighi, {Seyed Hamid} and Stephen Gould and Richard Hartley and Katarina Mele and Hughes, {William E.}",

year = "2012",

doi = "10.1007/978-3-642-33415-3_44",

language = "English",

isbn = "9783642334146",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings",

note = "Medical Image Computing and Computer-Assisted Intervention 2012, MICCAI 2012 ; Conference date: 01-10-2012 Through 05-10-2012",

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Rezatofighi, SH, Gould, S, Hartley, R, Mele, K & Hughes, WE 2012, Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images. in N Ayache, H Delingette, P Golland & K Mori (eds), Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7510 LNCS, Springer, pp. 357-364, Medical Image Computing and Computer-Assisted Intervention 2012, Nice, France, 1/10/12. https://doi.org/10.1007/978-3-642-33415-3_44

Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images. / Rezatofighi, Seyed Hamid; Gould, Stephen; Hartley, Richard et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. ed. / Nicholas Ayache; Herve Delingette; Polina Golland; Kensaku Mori. Springer, 2012. p. 357-364 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7510 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images

AU - Rezatofighi, Seyed Hamid

AU - Gould, Stephen

AU - Hartley, Richard

AU - Mele, Katarina

AU - Hughes, William E.

N1 - Conference code: 15th

PY - 2012

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N2 - We propose a multi-target tracking method using an Interacting Multiple Model Joint Probabilistic Data Association (IMM-JPDA) filter for tracking vesicles in Total Internal Reflection Fluorescence Microscopy (TIRFM) sequences. We enhance the accuracy and reliability of the algorithm by tailoring an appropriate framework to this application. Evaluation of our algorithm is performed on both realistic synthetic data and real TIRFM data. Our results are compared against related methods and a commercial tracking software.

AB - We propose a multi-target tracking method using an Interacting Multiple Model Joint Probabilistic Data Association (IMM-JPDA) filter for tracking vesicles in Total Internal Reflection Fluorescence Microscopy (TIRFM) sequences. We enhance the accuracy and reliability of the algorithm by tailoring an appropriate framework to this application. Evaluation of our algorithm is performed on both realistic synthetic data and real TIRFM data. Our results are compared against related methods and a commercial tracking software.

KW - Bayesian tracking

KW - Data association

KW - IMM filter

KW - JPDA filter

KW - Multi-target tracking

KW - Total internal reflection fluorescence microscopy

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BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings

A2 - Ayache, Nicholas

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Rezatofighi SH, Gould S, Hartley R, Mele K, Hughes WE. Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images. In Ayache N, Delingette H, Golland P, Mori K, editors, Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. Springer. 2012. p. 357-364. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33415-3_44

Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images

Abstract

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Keywords

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Cite this